MétaCan
Menu
Back to cohort
Record W2092451955 · doi:10.1089/vim.2006.19.260

Normal CD4+ T Lymphocyte Levels in HIV Seronegative Individuals in the Manya/Yilo Krobo Communities in the Eastern Region of Ghana

2006· article· en· W2092451955 on OpenAlexaff
William Ampofo, Kwasi Torpey, Ya Diul Mukadi, Kwadwo Koram, Kisten Nolan, Richard Amenyah, Ekow Kaitoo, Phyllis Antwi, David Ofori‐Adjei, Peter Lamptey

Bibliographic record

VenueViral Immunology · 2006
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsGovernment of Manitoba
FundersUnited States Agency for International Development
KeywordsDemographyHuman immunodeficiency virus (HIV)PopulationMedicineImmunologyGerontologyEnvironmental health

Abstract

fetched live from OpenAlex

The goal of this study was to determine the normal levels of CD4+ T lymphocytes in healthy individuals who were HIV seronegative in the Manya and Yilo Krobo Districts of Ghana's Eastern Region. This enabled comparisons with normal CD4 count ranges established by the World Health Organization (WHO). The study population consisted of 249 HIV-seronegative clients from a mobile free Voluntary Counseling and Testing (VCT) service in communities of the two districts during a one-month period. The mean CD4 count of these individuals was 1067 cells/microl with women demonstrating higher baseline CD4 counts than men. This study found a WHO comparable HIV seronegative baseline CD4 count as well as gender-based differences in the CD4 count and CD4/CD8 ratio. Establishment of the adult baseline for the country provides important demographic data and indicates the appropriateness of current global treatment guidelines with regards to CD4 levels in Ghana.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.312
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueViral ImmunologySame topicHIV/AIDS Research and InterventionsFrench-language works237,207